September 1, 2015
Over 40% of first time undergraduate students do not graduate within six years of starting school. By identifying at-risk students as quickly as possible, a school can provide the necessary support to help the students stay in school and create success. In this video, we will discuss strategies on getting started with predictive analytics as a tool to help this process. We will cover:
1. Determining student retention benchmarks
2. Defining what success means for your institution
3. Getting buy-in for the project
4. Getting Started with your first predictive models
5. How to measure progress
The presentation will be followed by a short demonstration of a student retention predictive model within Rapid Insight software.